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Semantic Web Services for Multi-Agent Systems Interoperability

Publication . Canito, Alda; Santos, Gabriel; Corchado, Juan M.; Marreiros, Goreti; Vale, Zita

Agent-based technologies are often used including existing web services. The outputs of some services are also frequently used as inputs for other services, including other MAS. However, while agent-based technologies can be used to provide services, these are not described using the same semantic web technologies web services use, which makes it difficult to discover, invoke and compose them with web services seamlessly. In this paper, we analyse different agent-based technologies and how these can be described using extensions to OWL-S. Additionally, we propose an architecture that facilitates these services’ usage, where services of any kind can be registered and executed (semi-)automatically.

2019Conference object

Open access

Ontologies to Enable Interoperability of Multi-Agent Electricity Markets Simulation and Decision Support

Publication . Santos, Gabriel; Pinto, Tiago; Vale, Zita

This paper presents the AiD-EM Ontology, which provides a semantic representation of the concepts required to enable the interoperability between multi-agent-based decision support systems, namely AiD-EM, and the market agents that participate in electricity market simulations. Electricity markets’ constant changes, brought about by the increasing necessity for adequate integration of renewable energy sources, make them complex and dynamic environments with very particular characteristics. Several modeling tools directed at the study and decision support in the scope of the restructured wholesale electricity markets have emerged. However, a common limitation is identified: the lack of interoperability between the various systems. This gap makes it impossible to exchange information and knowledge between them, test different market models, enable players from heterogeneous systems to interact in common market environments, and take full advantage of decision support tools. To overcome this gap, this paper presents the AiD-EM Ontology, which includes the necessary concepts related to the AiD-EM multi-agent decision support system, to enable interoperability with easier cooperation and adequate communication between AiD-EM and simulated market agents wishing to take advantage of this decision support tool

2021-05Journal article

Open access

Iberian electricity market ontology to enable smart grid market simulation

Publication . Santos, Gabriel; Pinto, Tiago; Praça, Isabel; Vale, Zita

Several approaches have been proposed to enhance the potential of distributed generation (DG). Some of the most prominent solutions include the aggregation of DG units and other players, culminating in the concept of and Smart Grid (SG). In this context, several simulation tools arose to study and test the new market mechanisms. However, all of these simulators are closed and centred in their object of study, neglecting the potential advantages of interoperating with other systems from the same domain. This work proposes the use of ontologies for systems interoperability in the power and energy systems domain. The ontologies have been developed and implemented in MASCEM and MASGriP - multi-agent simulators of electricity markets, and SG operation and management,respectively; thus enabling joint electricity market and SG simulations.

2018Journal article

Open access

BRICKS: Building’s reasoning for intelligent control knowledge-based system

Publication . Santos, Gabriel; Vale, Zita; Faria, Pedro; Gomes, Luis

Building energy management systems have been largely implemented, focusing on specific domains. When installed together, they lack interoperability to make them work correctly and to achieve a centralized user interface. The Building's Reasoning for Intelligent Control Knowledge-based System (BRICKS) overcomes these issues by developing an interoperable building management system able to aggregate different interest domains. It is a context-aware semantic rule-based system for intelligent management of buildings' energy and security. Its output can be a set of alarms, notifications, or control actions to take. BRICKS itself, and its features are the innovative contribution of the present paper. It is very important for buildings' energy management, namely in the scope of demand response programs. In this paper, it is shown how semantics is used to enable the knowledge exchange between different devices, algorithms, and models, without the need for reprogramming the system. A scenario is deployed in a real building for demonstration.

2020Journal article

Open access

Multi-agent semantic interoperability in complex energy systems simulation and decision support

Publication . Santos, Gabriel; Pinto, Tiago; Vale, Zita; Corchado, Juan Manuel

This work introduces a multi-agent systems' society, in power and energy, for simulation and decision support. A semantic data model is considered to describe the domain concepts, providing a way to achieve semantic communication between the systems involved. Sharing a common vocabulary enables systems' interoperability. A semantic registration and search platform, where systems can register their services and/or search for services they require, is also considered to facilitate interoperability in a (semi-)automatic way. Advanced context-aware decision support models and methods based on a strong artificial intelligence approach are also available to enhance players' outcomes from their participation in the sector. The case study presents an integrated laboratorial simulation and emulation infrastructure, enabling a realistic test and validation of the results.

2019Conference object

Open access